Create app.py

app.py

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+import os
+import random
+import uuid
+import json
+import gradio as gri
+import numpy as np
+from PIL import Image
+import spaces
+import torch
+from fooocus import FooocusPipeline
+from typing import Tuple
+
+# Check for the Model Base..// (Commented out line)
+
+bad_words = json.loads(os.getenv('BAD_WORDS', "[]"))
+bad_words_negative = json.loads(os.getenv('BAD_WORDS_NEGATIVE', "[]"))
+default_negative = os.getenv("default_negative", "")
+
+def check_text(prompt, negative=""):
+  for i in bad_words:
+    if i in prompt:
+      return True
+  for i in bad_words_negative:
+    if i in negative:
+      return True
+  return False
+
+
+style_list = [
+    {
+        "name": "2560 x 1440",
+        "prompt": "hyper-realistic 4K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic",
+        "negative_prompt": "cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly",
+    },
+    {
+        "name": "Photo",
+        "prompt": "cinematic photo {prompt}. 35mm photograph, film, bokeh, professional, 4k, highly detailed",
+        "negative_prompt": "drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly",
+    },
+    {
+        "name": "Cinematic",
+        "prompt": "cinematic still {prompt}. emotional, harmonious, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy",
+        "negative_prompt": "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured",
+    },
+    {
+        "name": "Anime",
+        "prompt": "anime artwork {prompt}. anime style, key visual, vibrant, studio anime, highly detailed",
+        "negative_prompt": "photo, deformed, black and white, realism, disfigured, low contrast",
+    },
+    {
+        "name": "3D Model",
+        "prompt": "professional 3d model {prompt}. octane render, highly detailed, volumetric, dramatic lighting",
+        "negative_prompt": "ugly, deformed, noisy, low poly, blurry, painting",
+    },
+    {
+        "name": "(No style)",
+        "prompt": "{prompt}",
+        "negative_prompt": "",
+    },
+]
+
+styles = {k["name"]: (k["prompt"], k["negative_prompt"]) for k in style_list}
+STYLE_NAMES = list(styles.keys())
+DEFAULT_STYLE_NAME = "2560 x 1440"
+
+def apply_style(style_name: str, positive: str, negative: str = "") -> Tuple[str, str]:
+  p, n = styles.get(style_name, styles[DEFAULT_STYLE_NAME])
+  if not negative:
+      negative = ""
+  return p.replace("{prompt}", positive), n + negative
+
+
+DESCRIPTION = """## MidJourneyHepzeka.com Ücretsiz ve Sınırsız Görsel Üretmek için Yapay Zeka Modeli"""
+
+
+if not torch.cuda.is_available():
+    DESCRIPTION += "\n<p>⚠️Running on CPU, This may not work on CPU.</p>"
+
+MAX_SEED = np.iinfo(np.int32).max
+CACHE_EXAMPLES = torch.cuda.is_available() and os.getenv("CACHE_EXAMPLES", "0") == "1"
+MAX_IMAGE_SIZE = int(os.getenv("MAX_IMAGE_SIZE", "2048"))
+USE_TORCH_COMPILE = os.getenv("USE_TORCH_COMPILE", "0") == "1"
+ENABLE_CPU_OFFLOAD = os.getenv("ENABLE_CPU_OFFLOAD", "0") == "1"
+device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
+NUM_IMAGES_PER_PROMPT = 1
+
+if torch.cuda.is_available():
+    pipe = FooocusPipeline.from_pretrained(
+        "SG161222/RealVisXL_V3.0_Turbo",
+